SD Times - Docker v2

Databases & Containers: From Development to Deployment Powering New Opportunities at Scale

2 Proprietary & Confidential | © 2015 Aerospike Inc. All rights reserved.

■ Containers + Databases = Happy Developers ■ Ephemeral Containers + Databases = DevOps headaches ■ Data Redundancy

■  Need more than one copy of the Data

■ Database Self Discovery & Cluster formation ■  Manual / Scripted configuration of Database Cluster

■ Database Self Healing (as containers enter and leave) ■  Manual / Scripted re-configuration of Database Cluster

■ Application Tier discovery of Database ■  Manual / Scripted re-routing of Application Traffic

Conclusion


Existing Architectures Are Broken

Challenges • Complex

• Maintainability

• Durability

• Consistency

• Scalability

• Cost ($)

• Data Lag

Caching Layer

Operational Database

Real-time Consumer Facing

Pricing / Inventory / Billing

Real-time Decisionin

g

Streaming Data

Legacy Database (Mainframe)

RDBMS Database

Transactional Systems

Enterprise Environment

Legacy RDBMS

HDFS BASED


Existing Deployment Models Are Broken

4

Developer

Version control

1. Development 2. Test 3. Stage / Production

QA / QE Sysadmin


Infrastructure Cannot be Fully Utilized TRADITIONAL DATABASE

OS FILE SYSTEM

PAGE CACHE

BLOCK INTERFACE

SSD HDD

What You Have

BLOCK INTERFACE

SSD SSD

OPEN NVM

SSD

DATABASE

MEMORY SYSTEM

•  Direct device access •  Large Block Writes •  Indexes in DRAM •  Highly Parallelized

What You Want


■ Containers ■ Encapsulation ■ Deployment ■  Isolation

■ Databases ■ Persistence ■ Scalability ■ Self-organizing / Self-healing ■ Resource Utilization

Meeting the Challenges

Containers


Container Mission – Reduce Complexity

Build Ship Run

OpenStandards

Plumbing

Pla3ormClustering Distribution

Image spec Container run-time spec

Runtime

Trust


■ Encapsulation of Dependencies ■ O/S packages & Patches ■ Execution environment (e.g. Python 2.7) ■ Application Code & Dependencies

■ Process Isolation ■  Isolate the process from anything else running

■  Faster, Lightweight virtualization

What do Containers give me?


FROM python:2.7

ADD . /code

WORKDIR /code

RUN apt-get update

RUN apt-get -y install python-dev

RUN apt-get -y install libssl-dev

RUN pip install --no-cache-dir -r requirements.txt

EXPOSE 5000

CMD python app.py

Dockerfile - Example


Coalition of industry leaders join forces to eliminate fragmentation •  Form a vendor-neutral, open source governance model under the

Linux Foundation •  Establish common standards for container format and runtime •  Docker donated its container format, runtime and associated

specifications •  Appoint maintainers for the libcontainer project

Open Container Initiative (OCI) – Polyglot Vendors

http://www.opencontainers.org/


Docker Landscape in Pictures

Machine provisions Docker Engines

Engines are clustered by Docker Swarm

Compose orchestrates Container deployment

Containers are run by Docker Engine

Docker Machine Docker Compose

Docker Swarm

Docker Engine

Container

Containers encapsulates your code, dependencies…

Aerospike The Enterprise NoSQL Database


The Bottom Line


•  RIPE MD160 Hashing & Partitioning •  Primary Index is Red Black Tree •  Dynamically Add/Remove Nodes

Scale

•  Auto Rebalance •  Auto Heal •  Schema-free


0

100,000

200,000

300,000

400,000

Balanced Read-Heavy Aerospike Cassandra

MongoDB Couchbase 2.0*

0

2.5

5

7.5

10

0 50,000 100,000 150,000 200,000 Aver

age

Late

ncy,

m

s

Throughput, ops/sec

Balanced Workload Read Latency

Aerospike Cassandra MongoDB

0

4

8

12

16

0 50,000 100,000 150,000 200,000 Aver

age

Late

ncy,

m

s

Throughput, ops/sec

Balanced Workload Update Latency

Aerospike Cassandra MongoDB

•  Flash / SSD Optimized •  Primary Index in DRAM

Speed


Challenge • Overall SLA 750 ms • Loss of business due to latency • Every credit card transaction requires hundreds of DB reads/writes

Need to Scale Reliably •  10 à 100 TB •  10B à 100 B objects •  200k à I Million+ TPS

Aerospike In-Memory NoSQL • Built for Flash • Predictable low latency at high throughput •  Immediate consistency, no data loss • Cross data center (XDR) support •  20 server cluster • Dell 730xd w/ 4NVMe SSDs

Credit Card Processing System

Fraud Detection & Protection App

Rules Rule 1 Rule 2 Rule 3

Historical Data

Rule 1-Passed Rule 2-Passed Rule 3-Failed

Account Behavior

Static Data

Account Statistics

Real-time Fraud Prevention

Databases and Containers


■ Data Redundancy ■ Containers are Ephemeral – Need more than one copy of the data

■ Dynamic Self Discovery & Cluster formation ■ Need to start and stop Conatiners when needed ■ Clusters needs to grow and shrink dynamcially

■ Self Healing ■ Loss of nodes must not be fatal to the cluster integrity ■ Addition of nodes must scale capacity

■ Application Tier discovery of Database ■ Automatic discovery of nodes ■ Automatic routing of requests to the correct nodes

Requirements


■ Data Redundancy ■ Automatic Replication of Data to "n" nodes

■ Dynamic Self Discovery & Cluster Formation ■ Shared nothing architecture – all nodes equal ■ Multi-cast & Mesh Networking models

■ Automatic healing & rebalancing of the cluster ■ Automatic hashing of keys across the cluster ■ RIPEMD-160 collision free algorithm with Smart Partitions™

■ Application Tier discovery of Database ■ Automated cluster discovery with Smart Client™ ■  Java, C/C++, C#, Python, Node.js

Example: Aerospike and Containers


■ Build & Run an App in Development ■ Python + Aerospike

■ Deploy to a Swarm cluster in Production ■ Add more Web containers behind HAProxy

■ Scale Aerospike Cluster in production ■ Add more Database nodes

Demo: Development through to Production


Lets build an App!

web

Aerospike

Development

python / flask


Scale in Production

web2 web3 web4 webN web web1

Aerospike

Development

…

Production

HA Proxy

asd1 asdN asd2 …


Demo 1 : Build an App


FROM python:2.7

ADD . /code

WORKDIR /code

RUN apt-get update

RUN apt-get -y install python-dev

RUN apt-get -y install libssl-dev

RUN pip install --no-cache-dir -r requirements.txt

EXPOSE 5000

CMD python app.py

Dockerfile


web: build: . ports: - "5000:5000" links: - aerospike hostname: dev.awesome-counter.com environment: - AEROSPIKE_HOST=dev_aerospike_1 aerospike: image: aerospike/aerospike-server:latest volumes: - $PWD:/etc/aerospike

docker-compose.yml


Roll the App to Production behind HA Proxy

web web1

Development Production

Aerospike

HA Proxy

Aerospike


Scale the web tier


Aerospike

Development

…

Production

Aerospike

HA Proxy


Docker Networking


Demo 2 : Scale the Web Tier


discovery: image: aerospike/interlock:latest environment: - "DOCKER_HOST" volumes: - "/var/lib/boot2docker:/etc/docker" command: "... --plugin aerospike start" aerospike: image: aerospike/aerospike-server:latest volumes: - "$PWD:/etc/aerospike"

aes_base_cluster.yml


haproxy: extends: file: haproxy.yml service: haproxy-server environment: - "constraint:node==swarm-0" net: bridge web: image: alvinr/demo-webapp-as:latest extends: file: haproxy.yml service: haproxy-app environment: - AEROSPIKE_HOST=prod_aerospike_1 net: prod

docker-compose.yml

aerospike:

extends:

file: aes_base_cluster.yml

service: aerospike

image: aerospike/aerospike-server:3.7.1

labels:

- "com.aerospike.cluster=awesome-counter"

environment:

- "affinity:com.aerospike.cluster!=awesome-counter"

net: prod


Scale the Aerospike cluster

42


mongodb

Development

…

Production

HA Proxy

asd1 asdN asd2 …


Demo 3 : Scale the Cluster


■ API for Docker Events ■ Start / Stop / Die etc ■ https://docs.docker.com/engine/

reference/api/docker_remote_api/

■  Interlock – Evan Hazlett ■ Framework to listen and publish events ■ Plugin Framework (e.g. HAPROXY) ■ https://github.com/ehazlett/interlock

■ Aerospike Interlock plugin ■ Add / Remove node from Cluster ■ https://github.com/aerospike/interlock

Docker Event API & Interlock


■  https://github.com/aerospike/interlock

func (p AerospikePlugin) runAsinfoTip(args ...string) bool{

asinfo, err := exec.LookPath("asinfo")

if err != nil{

log.Errorf("error finding asinfo binary: %s", err)

return false

}

time.Sleep(time.Second*5) //sleep 5s for ASD to be ready

cmd := exec.Command(asinfo,args...)

Interlock Plugin - Aerospike


Considerations


Inside ■ Encapsulation of Concerns

Storage: Inside or outside the container?

Host

daemon

container

Host

daemon

container e.g. SSD

e.g. EBS

/data/db /mnt/xx:/data/db

/dev/xvdb

Outside ■ Separation of Concerns ■ Storage Features (e.g.

Snapshots)


Data Container ■  --volumes-from <container name> ■  Managed like other containers ■  Special rules for Destruction ■  TBD: Performance

Storage: Data Container?

Host

daemon

container

Host

daemon

container


Summary

• Define Container, their contents and how they work together once • Deploy the same images in Dev, Pre-Prod and Production across

Platforms

One solution from Dev -> Production

• Ops define the whitelisted images, security policies etc. • Dev use approved images to build upon • Eliminate the complexity (and cost) of deployment • Scale up & down in a Flexible and Simple way

Running Docker & Database in Production


■ Code ■ http://github.com/alvinr/docker-demo/tree/master/aerospike

■ Docker Images ■ http://hub.docker.com/r/aerospike/

■ Aerospike & Docker deployment guide ■ http://www.aerospike.com/docs/deploy_guides/docker/

■ Contact me! ■ [email protected] ■ @jonnyeight

Thanks and Q&A

SD Times - Docker v2

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